Skip to main content
. 2025 Jul 7;15:24246. doi: 10.1038/s41598-025-06059-w

Table 1.

Inline graphic: comparison of related works.

Reference Investigation focus Methodology Key differences from our work
24 Coverage and SNR gain in IRS-aided systems IRS-assisted communication No focus on NOMA or security
25 IRS-based wireless channel optimization IRS reflection coefficient optimization No security analysis or NOMA integration
26 Security enhancements in IoT networks IRS-based secrecy rate optimization No NOMA or jamming considerations
27 Secure MIMO transmission using IRS IRS-assisted secure beamforming No NOMA or secrecy outage analysis
28 Secure transmission in IRS-SWIPT systems Deep learning for IRS optimization No focus on NOMA or massive MIMO
29 Physical layer security in RIS-aided networks RIS-based secrecy rate enhancement No integration of NOMA or jamming
30 IRS-assisted NOMA with secrecy constraints IRS-assisted beamforming & NOMA No jamming effect considered
31 IRS-assisted NOMA security IRS deployment for secrecy enhancement No analysis of ergodic secrecy rate (ESR) under jamming
35 Secure NOMA with transmit antenna selection Antenna selection for physical layer security Does not consider IRS or massive MIMO
36 Security in NOMA with untrusted near user Power allocation and secrecy beamforming Focuses on an untrusted near user rather than a far user as in our work
37 Physical layer security in random NOMA networks Stochastic geometry for secrecy analysis No IRS integration or jamming mechanism
Our work Secure NOMA with IRS and jamming IRS-assisted secrecy enhancement, massive MIMO, jamming for untrusted far user Introduces jamming to protect against an untrusted far user while leveraging IRS for secrecy enhancement, considers both ergodic secrecy rate (ESR) and secrecy outage probability (SOP), and analyzes the impact of IRS placement and power allocation strategies